bernsteinon: Bernstein approximations and use of
DPMechBernsteinfor private function release.
predict()generic implementation for fitting (non-iterated) Bernstein polynomial function approximations.
DPMechBernsteinclass implementing the Bernstein mechanism of Alda and Rubinstein (AAAI’2017), for privately releasing functions.
DPMechGaussianclass for the generic Gaussian mechanism to README, Vignette. Resolves #2
DPMechNumeric. Resolves #1
DPMechGaussianclass implementing the Gaussian mechanism, which achieves (epsilon,delta)-differential privacy by adding Gaussian noise to numeric responses calibrated by L2-norm sensitivity.
DPMechLaplaceunderneath a new
DPMechNumericwhich contains common methods,
dimis a special slot for S4).
DPMechLaplaceobjects can now be initialized without specifying non-private
dim. In such cases, the sensitivity sampler will perform an additional
targetprobe to determine